• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.137-145
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• 2018

In this study, we categorized the subjective recognition of 20's young generation about virtual currency into a few meaningful types and analyzed the characteristics of each type using the Qmethodology. For the Qpopulation, we selected a total of 337 samples which were derived from the Internet search, in-depth interviews, and literature survey, chose the final 51 Qstatements, and performed the Q-classification for the 40 P samples of 20's, including university students. Then, we analyzed the results using the PC-QUANL program. From the analysis, we found meaningful differences between each recognition type, and, after classifying the recognition types into four, we named each of them as 'investment-vehicle' type, 'future-technology' type, 'kind of gambling-like plays' type, and 'foamy faddishness' type. We hope that this research result can contribute to follow-up research and social discussion as base materials.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.1
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• pp.99-109
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• 2013

PURPOSE: This study was designed to evaluate the current state of training in assistive technology(AT) for pediatric physical therapists(PPTs) and pediatric occupational therapists(POTs), in addition, investigate therapists' preferred training methods and contents. The eventual purpose was to suggest the essential fundamental factors to adapt the assistive technology in clinics. METHODS: The subject of this study were 167 therapists(98 PPTs and 69 POTs) who work at general hospitals, welfare center, facilities for the disabled, and special education school in Seoul and Gyeonggi province. Frequency analysis and Chi-squared test were used. RESULTS: Significant numbers of PPTs(66 therapists, 67.3%) and POTs(50 therapists, 72.5%) answered that they had received training in AT. More than 48% answered no training experience or low adequacy in each classification scheme for questions. The most difficulty in the training was indicated by lack of education opportunity(90 therapists, 53.9%). The most required device training was seating and position device training(43 therapists, 21.9%) for PPTs and orthosis and prosthesis device training(29 therapists, 21.0%) for POTs. In assistive technology service, PPTs needed evaluation to AT device training(69 therapists, 35.2%) and POTs needed evaluation to disabilities for AT training(41 therapists, 29.7%). Both therapists answered that the most effective training is continuous education(52 therapists, 31.1%) and college education(48 therapists, 28.7%). CONCLUSION: Our findings indicate that PPTs and POTs need more opportunities for training in AT. For effective clinical app lication of AT, there should be continuous education such as on-the-job training, mentoring program, technical manual, and college education.

• Journal of Korean Academy of Nursing
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• v.39 no.3
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• pp.409-421
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• 2009

Purpose: In this research multi-level analysis was done to identify factors related to quality of services. Patient characteristics and organizational factors were considered. Methods: The data were collected from the Health Insurance Review and Assessment Service(HIRA) data base. The sample was selected from 17,234 patients who had been admitted between January 2007 and May 2008 to one of 253 long-term care hospitals located in Seoul, six other metropolitan cities or nine provinces The data were analyzed with SAS 9.1 using multi-level analysis. Results: The results indicated that individual level variables related to quality of service were age, cognitive ability, patient classification, and initial quality scores. The organizational level variables related to quality of service were ownership, number of beds, and turnover rate. The explanatory power of variables related to organizational level variances in quality of service was 23.72%. Conclusion: The results of this study indicate that differences in the quality of services were related to organizational factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as nurse' welfare and facility standards if quality of service in long term care hospitals is to be improved.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.1-6
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• 2018

With the increase of the elderly population, problem on social isolation and loneliness have grown in Korea. Elderly dwelling issues have also been gaining increased attention since dwelling environment is discussed in conjunction with elderly's health and life quality. In this study, the data was collected retrospectively of 350 elderlies who live as single households during 1 September, 2017 to 30 September to identify how to define and measure dwelling depression. The content validity and reliability were evaluated and the correlation between the depression and the dwelling satisfaction were compared. Lastly, a regression analysis on the classification of the dwelling depression was performed. The results show that depression appearing in elderly are more likely to experience a dwelling unsatisfaction. Our results contribute to an understanding and measurement of the dwelling depression which has not been sufficiently specified.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.1
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• pp.57-72
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• 2008

Serve and do so that graft together specialists' view application field of computer and developmental disability diagnosis estimation data to construct developmental disability diagnosis estimation system in this Paper and constructed developmental disability diagnosis estimation system. Developmental disability diagnosis estimation must supply information of specification area that specialists are having continuously. Developmental disability diagnosis estimation specialist system need multimedia data processing that is specialized little more for developmental disability classification diagnosis and decision-making and is atomized for this. Characteristic of developmental disability diagnosis estimation system that study in this paper can supply quick feedback about result, and can reduce mistake on recording and calculation as well as can shorten examination's enforcement time, and background of training is efficient system fairly in terms of nonprofessional who is not many can use easily. But, as well as when multimedia information that is essential data of system construction for developmental disability diagnosis estimation is having various kinds attribute and a person must achieve description about all developmental disability diagnosis estimation informations, great amount of work done is accompanied, technology about equal data can become different according to management. Because of these problems, applied search technology of contents base (Content-based) that search connection information by contents of edit target data for developmental disability diagnosis estimation data processing multimedia data processing technical development. In the meantime, typical access way for conversation style data processing to support fast image search, after draw special quality of data by N-dimension vector, store to database regarding this as value of N dimension and used data structure of Tree techniques to use index structure that search relevant data based on this costs. But, these are not coincided correctly in purpose of developmental disability diagnosis estimation because is developed focusing in application field that use data of low dimension such as original space DataBase or geography information system. Therefore, studied save structure and index mechanism of new way that support fast search to search bulky good physician data.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.19-26
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• 2013

This paper propose a surface EMG signal based gait phase recognition method that selects features and channels adaptively. The proposed method can be used to control powered artificial prosthetic for lower limb amputees and can reduce overhead in real-time pattern recognition by selecting adaptive channels and features in an embedded device. The method can enhance the classification accuracy by adaptively selecting channels and features based on sensitivity and specificity of each subject because EMG signal patterns may vary according to subject's locomotion convention. In the experiments, we found that the muscles with highest recognition rate are different between human subjects. The results also show that the average accuracy of the proposed method is about 91% whereas those of existing methods using all channels and/or features is about 50%. Therefore we assure that sEMG signal based gait phase recognition using small number of adaptive muscles and corresponding features can be applied to control powered artificial prosthetic for lower limb amputees.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.21-27
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• 2017

To guarantee the effectiveness of the HACCP(Hazard analysis and critical control points) system, it is necessary to develop of an ontology-based information system that can automatically manage the large amount of HACCP records or information derived from the HACCP operation results. In this paper, we construct a food information ontology which represents the relationships between ingredients, recipe, and features of food categories. Moreover, we develop HACCP automation application adopt the ontology to verify the semantic quality of the designed ontology model by performing HACCP processes such as HACCP diet classification. We expect to contribute to develop a food hygiene information and improve the accuracy of the HACCP data through the semantic system.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.2
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• pp.69-78
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• 2017

Objectives : This study aims to analyze the public investment for Korean Medicine R&D to facilitate the future strategic planning. Methods : All government supported research projects for Korean Medicine that were invested in 2009, 2012, 2015 were searched in the NTIS (National Science & Technology Information Service) Database. Research budgets were analyzed by government departments, R&D agents, R&D steps, and research fields. CAGR (Compound Annual Growth Rate) was derived from each Korean Medicine research field. Differences of research budgets among research fields were tested using Chi square analysis. Results : A total of 891 projects supported in 2009, 2012, and 2015 was analyzed. The amount of research budgets has increased, from 49,839 million won in 2009 to 106,536 million won in 2015 showing 13.5% of CAGR. Ministry of Science, ICT, and Future Planning, and Ministry of Health and Welfare were the biggest sponsors in Korean Medicine R&D. Chi square analysis showed that, in this period, there were statistically significant differences of research budgets in Korean Medicine technology equipment field and infrastructure field. Conclusions : To diversify the Korean Medicine R&D, unequal research funding among government departments should be relieved, and virtuous cycle of Industry-University-Institute Collaboration in Korean Medicine need to be built.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.10 no.1
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• pp.87-92
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• 2016

In this paper, we improved classification performance of benign and malignant lung nodules by including the parenchyma features. For small pulmonary nodules (4-10mm) nodules, there are a limited number of CT data voxels within the solid tumor, making them difficult to process through traditional CAD(computer aided diagnosis) tools. Increasing feature extraction to include the surrounding parenchyma will increase the CT voxel set for analysis in these very small pulmonary nodule cases and likely improve diagnostic performance while keeping the CAD tool flexible to scanner model and parameters. In AdaBoost learning using naive Bayes and SVM weak classifier, a number of significant features were selected from 304 features. The results from the COPDGene test yielded an accuracy, sensitivity and specificity of 100%. Therefore proposed method can be used for the computer aided diagnosis effectively.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.10 no.3
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• pp.221-228
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• 2016

In this paper, we introduce our simulation software for EEG signal accuracy improvement. Users can check and train own EEG signal accuracy using our simulation software. Subjects were shown emotional imagination condition with landscape photography and logical imagination condition with a mathematical problem to subject. We use that EEG signal data, and apply Independent Component Analysis algorithm for noise removal. So we can have beta waves(${\beta}$, 14-30Hz) data through Band Pass Filter. We extract feature using Root Mean Square algorithm and That features are classified through Support Vector Machine. The classification result is 78.21% before EEG signal accuracy improvement training. but after successive training, the result is 91.67%. So user can improve own EEG signal accuracy using our simulation software. And we are expecting efficient use of BCI system based EEG signal.